Sensitivity analysis of O3 generation in Hubei Province based on TROPOMI data
YANG Chun-mian1, HUANG Yu2, HUANG Hai-bin1, HE Ze-huang3, CHENG Hai-rong1
1. School of Resources and Environmental Sciences, Wuhan University, Wuhan 430072, China; 2. Wuhan Ecological Environment Science and Technology Center, Wuhan 430023, China; 3. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China
Abstract:Based on the ground-level ozone (O3) data from provincial air quality stations and tropospheric HCHO and NO2 column concentration data from TROPOMI, the spatial and temporal distributions, variation trends and precursor sensitivity of O3 pollution in Hubei Province from 2019 to 2023 were studied by using the indicator method of O3 generation sensitivity. The results showed that the concentration of O3 columns in Hubei Province presented an overall upward trend. For the seasonal variations, the concentrations of O3 and HCHO were higher in summer and lower in winter, while NO2 was the opposite. For the spatial distributions, the concentration of O3 column increased gradually from south to north, and the concentration of NO2 and HCHO column increased in a stepwise manner from west to east. Through analyzing the spatial distributions of controlling factors for O3, we found that O3 generation in most areas of Hubei Province was controlled by NOx from June to September, and only a small area was controlled by NOx. Wuhan and its surrounding urban areas in eastern Hubei Province belong to the VOCs-control area, the western Hubei region mainly belongs to the NOx-control area, the rest of the areas mostly belong to NOx-VOCs collaborative-control area. After 2019, O3 generation in eastern Hubei Province has changed from VOCs-control area to NOx-VOCs collaborative control area.
杨淳棉, 黄宇, 黄海滨, 何泽煌, 成海容. 基于TROPOMI数据的湖北省O3生成敏感性分析[J]. 中国环境科学, 2025, 45(1): 50-57.
YANG Chun-mian, HUANG Yu, HUANG Hai-bin, HE Ze-huang, CHENG Hai-rong. Sensitivity analysis of O3 generation in Hubei Province based on TROPOMI data. CHINA ENVIRONMENTAL SCIENCECE, 2025, 45(1): 50-57.
[1] Li K, Jacob D J, Shen L, et al. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences [J]. Atmos Chem Phys, 2020,(19):11423-11433. [2] 孙晓艳,李青松,李大秋,等.济南市城区夏季臭氧污染过程及来源分析 [J]. 环境科学, 2022,(2):43. Sun X, Li Q, Li D, et al. Changes of Ozone Pollution Trend Characteristics and Sensitivity in Ji’nan from 2015 to 2020. [J]. Environmental Science, 2022,(2):43. [3] Xu J, Huang X, Wang N, et al. Understanding ozone pollution in the Yangtze River Delta of eastern China from the perspective of diurnal cycles [J]. Sci Total Environ, 2020,752:141928. [4] 王占山,李云婷,陈 添,等.北京城区臭氧日变化特征及与前体物的相关性分析 [J]. 中国环境科学, 2014,34(12):3001-3008. Wang Z, Li Y, Chen T, et al. Analysis on diurnal variation characteristics of ozone and correlations with its precursors in urban atmosphere of Beijing. [J]. China Environmental Science, 2014,34(12): 3001-3008. [5] 李霄阳,李思杰,刘鹏飞,等.2016年中国城市臭氧浓度的时空变化规律 [J]. 环境科学学报, 2018,38(4):12. Li X, Li S, Liu p, et al. Spatial and temporal variations of ozone concentrations in China in 2016. [J]. Acta Scientiae Circumstantiae, 2018,38(4):12. [6] Gao C, Xiu A, Zhang X, et al. Spatiotemporal characteristics of ozone pollution and policy implications in Northeast China [J]. Atmos Pollut Res, 2020,11(2):357-369. [7] Sillman S, He D. Some theoretical results concerning O3-NOx-VOC chemistry and NOx-VOC indicators [J]. Journal of Geophysical Research: Atmospheres, 2002,107(D22):(ACH 26-1-ACH 26-15). [8] Tonnesen G S, Dennis R L. Analysis of radical propagation efficiency to assess ozone sensitivity to hydrocarbons and NOx Local indicators of instantaneous odd oxygen production sensitivity [J]. Journal of Geophysical Research Atmospheres, 2000,105(D7):(9213-9225). [9] Sillman S. The use of NO2HCHO, H2O2, and HNO3 as indicators for ozone - NO-ROG sensitivity in urban locations [J]. Journal of Geophysical Research Atmospheres, 1995,10:14175-14188. [10] Fried A, Cantrell C, Olson J, et al. Detailed comparisons of airborne formaldehyde measurements with box models during the 2006 INTEX-B and MILAGRO campaigns: potential evidence for significant impacts of unmeasured and multi-generation volatile organic carbon compounds [J]. Atmos Chem Phys, 2011,11(22): 11867-11894. [11] Wang W, Ronald V D A, Ding J, et al. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations [J]. Atmospheric Chemistry & Physics, 2021,21: 7253-7269. [12] 张国强,巨天珍,王勤花,等.宁夏吸收性气溶胶时空分布及其影响因素研究 [J]. 中国环境科学, 2020,40(6):2371-2380. Zhang G, Ju T, Wang W, et al. Studying on spatial and temporal distribution of absorbent aerosols and its influencing factors in Ningxia. China Environmental Science, 2020,40(6):2371-2380. [13] Jin X, Fiore A M, Murray L T, et al. Evaluating a space-based indicator of surface ozone-NOx-VOC sensitivity over midlatitude source regions and application to decadal trends [J]. Journal of Geophysical Research Atmospheres, 2017,122(10):439-461. [14] 单源源,李 莉,刘 琼.基于OMI数据的中国中东部臭氧及前体物的时空分布 [J]. 环境科学研究, 2016,29(8):9. [15] Shan Y, Li L, Liu Q, et al. Spatio-temporal distribution of ozone and its precursors over Central and Eastern China based on OMI data [J]. Research of Environmental Sciences, 2016,29(8):1128-1136. [16] Zheng, Yang, Wu, et al. Spatial variation of NO2 and its impact factors in China: An application of Sentinel-5P products [J]. Remote Sens (Basel), 2019,11(16):1939. [17] Judd L M, Al-Saadi J A, Szykman J J, et al. Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound [J]. Atmos Meas Tech, 2020,(11). [18] 杨东上,罗宇涵,曾 议,等.基于MAX-DOAS和TROPOMI对北京冬季对流层NO2污染监测和对比分析 [J]. 遥感学报, 2023,27(7): 1680-1690. Yang D, Luo Y, Zeng Y, et al. Monitoring and comparative analysis of NO2 pollution in the troposphere in winter over Beijing based on MAX-DOAS and TROPOMI. National Remote Sensing Bulletin, 2023,27(7):1680-1690. [19] Duncan B N, Yoshida Y, Olson J R, et al. Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation [J]. Atmos Environ (1994), 2010,44(18): 2213-2223. [20] 于瑞新,刘旻霞,李 亮,等.长三角地区近15年大气臭氧柱浓度时空变化及影响因素 [J]. 环境科学学报, 2021,41(3):770-784. Yu R, Liu M, Li L, et al. Spatial and temporal variation of atmospheric ozone column concentration and influencing factors in the Yangtze River Delta region in recent 15 years [J]. 2021,41(3):770-784. [21] 何思聪,王 璐,张自力,等.大气甲醛时空特征与影响因素分析——以中国主要经济区为例 [J]. 科学技术与工程, 2022,22(1):416-428. He S, Wang L, Zhang Z, et al. Estimation and prediction of vegetation ecological water demand in arid region of northwest China under climate change [J]. Science Technology and Engineering, 2022,22(1): 416-428. [22] Miller S M, Matross D M, Andrews A E, et al. Sources of carbon monoxide and formaldehyde in North America determined from high- resolution atmospheric data [J]. Atmos Chem Phys, 2008,8(24):7673- 7696. [23] 毛红梅,张凯山,第宝锋.四川省天然源VOCs排放量的估算和时空分布 [J]. 中国环境科学, 2016,(5):8. Mao H, Zhang K, Di B, et al. Studies on estimates of biogenic VOC emission and its temporal and spatial distribution in Sichuan. [J]. China Environmental Science, 2016,(5):8. [24] Yin C, Deng X, Zou Y, et al. Trend analysis of surface ozone at suburban Guangzhou, China [J]. Sci Total Environ, 2019,695:133880. [25] Hwang J, Lee H, Jung U, et al. First-time remote sensing of NO2 vertical distributions in an urban street canyon using Topographic Target Light scattering Differential Optical Absorption Spectroscopy (ToTaL-DOAS) [J]. Atmos Environ (1994),2012. [26] 李美欣,吴 莹,鲍艳松.OMI和TROPOMI的中国对流层NO2污染数据的时空对比分析 [J]. 海洋气象学报, 2023,43(1):75-86. Li M, WuY, Bao Y, et al. Spatial and temporal comparison of tropospheric NO2 pollution data from OMI and TROPOMI in China. [J], Journal of Marine Meteorology, 2023,43(1):75-86. [27] Ren J, Guo F, Xie S. Diagnosing ozone-NOx-VOC sensitivity and revealing causes of ozone increases in China based on 2013~2021 satellite retrievals [J]. Atmos Chem Phys, 2022,22(22):15035-15047. [28] 2019年武汉市机动车污染防治年报 [R]. 武汉:武汉市生态环境局, 2019. 2019 Wuhan Annual Report on Motor Vehicle Pollution Prevention and Control [R]. Wuhan:Wuhan Municipal Bureau of Ecology and Environment, 2019.